Triple
T28818183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epstein–Barr virus infection |
E727688
|
entity |
| Predicate | hasVirusSubfamily |
P10928
|
FINISHED |
| Object | Gammaherpesvirinae |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gammaherpesvirinae | Statement: [Epstein–Barr virus infection, hasVirusSubfamily, Gammaherpesvirinae]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVirusSubfamily Context triple: [Epstein–Barr virus infection, hasVirusSubfamily, Gammaherpesvirinae]
-
A.
virusSubtype
Indicates the specific subtype classification of a virus within a broader virus type or strain.
-
B.
associatedWithVirusSpecies
Indicates a relationship where one entity is linked or connected to a particular virus species, typically through relevance, involvement, or attribution.
-
C.
belongsToSubfamily
chosen
Indicates that one entity is a member of, or classified within, a specific subfamily of another entity.
-
D.
hasTargetPathogenFamily
Indicates that something (such as a drug, treatment, or intervention) is directed against or specifically intended to affect a particular family of pathogens.
-
E.
viralFamilyCommonName
Indicates the commonly used family-level name associated with a virus or viral taxon.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 28, 2026, 6:33 a.m.